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# Senior Research Engineer, GenMedia Safety, DeepMind

- **Company:** Google LLC
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Machine Learning, Language Modeling, Information Technology, Data Analytics
- **Published:** August 11, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/senior-research-engineer-genmedia-safety-deepmind-mountain-view-ca-usa-58901995

## About the Role

aay_ gaps in model safety * Execute experiments to inform safety strategies and rapid, scalable mitigations for high-priority escalations Tasks * PhD in Computer Science or related field, or equivalent practical experience * 2+ years leading a research agenda * 2+ years of experience with machine learning algorithms, research methodologies, and language modeling Key requirements * 15% bonus target * equity * benefits

## Description

Experteer Overview You will advance the safety and behavior of GenMedia's image and video generation models. Working within a cross-functional Safety team, you'll design and deploy research-backed solutions that scale across internal and external platforms. You will translate policy-guided safety requirements into concrete technical implementations and rigorous experiments. This role offers the opportunity to impact millions of users through core generation capabilities like Nano Banana and OMNI, while upholding safety and ethics as a priority. You'll collaborate with interdisciplinary teams to push the state of the art in responsible AI. Compensation / Benefits * Develop solutions for GenMedia models balancing user experience, safety, and scalability * Apply data-driven and algorithmic reasoning to keep image-generation models safe and helpful * Collaborate with policy experts to turn safety guidelines into actionable implementations * Design and maintain protocols to identify and bridge gaps in model safety * Execute experiments to inform safety strategies and rapid, scalable mitigations for high-priority escalations Tasks * PhD in Computer Science or related field, or equivalent practical experience * 2+ years leading a research agenda * 2+ years of experience with machine learning algorithms, research methodologies, and language modeling Key requirements * 15% bonus target * equity * benefits


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